Healthcare Device Utilization Metrics

This dataset provides granular, timestamped records of medical device usage across healthcare facilities, including device details, facility location, usage duration, operator roles, and operational status. It enables healthcare organizations to analyze utilization patterns, optimize resource allocation, and inform procurement or maintenance strategies for critical medical equipment.

  • last updated 21 Jul 2025
  • by GoMask
The brief that made it

Capacity planning and resource optimization for healthcare facilities

Sample rows

preview · 8 of 200 rows · all 23 columns
utilization_idstringutilization_typestringpatient_countintegerfacility_statestringdevice_idstringdevice_namestringdevice_typestringmanufacturerstringfacility_idstringfacility_namestringfacility_street_addressstringfacility_citystringfacility_postal_codestringfacility_countrystringdepartmentstringusage_start_datetimedatetimeusage_end_datetimedatetimeduration_minutesfloatoperator_idstringoperator_rolestringdevice_statusstringerror_codestringnotesstring
UTL00001patient2OHDEV0001Siemens Magnetom AeraMRISiemensFAC1001St. Vincent Medical Center123 Wellness DrColumbus43215USARadiology2024-03-12T08:12:002024-03-12T09:03:0051OPR2001TechnicianactiveblankRoutine MRI scan for two neurology patients.
UTL00002patient1CADEV0002GE Healthcare Carescape R860VentilatorGE HealthcareFAC1002Mercy General Hospital875 Elm StSacramento95819USAICU2024-03-12T17:21:002024-03-12T18:34:0073OPR2002NurseactiveblankVentilator used for adult male with respiratory distress.
UTL00003patient2blankDEV0003Baxter Sigma Spectrum IVInfusion PumpBaxterFAC1003Royal London HospitalWhitechapel RoadLondonE1 1BBUKOncology2024-04-02T09:43:002024-04-02T10:26:0043OPR2003NurseactiveblankChemotherapy infusion completed without incident.
UTL00004patient1ONDEV0004Philips EPIQ 7 UltrasoundUltrasoundPhilipsFAC1004Toronto General Hospital200 Elizabeth StTorontoM5G2C4CanadaCardiology2024-03-15T13:35:002024-03-15T14:10:0035OPR2004SonographeractiveblankEchocardiogram performed, image quality excellent.
UTL00005calibration0MDDEV0005Schiller AT-102 ECGECGSchillerFAC1005Johns Hopkins Hospital1800 Orleans StBaltimore21287USACardiology2024-03-14T08:56:002024-03-14T09:06:0010OPR2005TechnicianidleblankDaily calibration completed, no issues.
UTL00006calibration0OHDEV0006Physio-Control LIFEPAK 20eDefibrillatorPhysio-ControlFAC1001St. Vincent Medical Center123 Wellness DrColumbus43215USAEmergency2024-03-13T22:10:002024-03-13T22:23:0013OPR2006EngineeractiveblankSelf-test and battery check successful.
UTL00007patient1ONDEV0007Masimo Radical-7Pulse OximeterMasimoFAC1006Mount Sinai Hospital600 University AveTorontoM5G1X5CanadaPediatrics2024-03-17T15:20:002024-03-17T15:42:0022OPR2007NurseactiveblankPulse oximetry for pediatric asthma assessment.
UTL00008patient1blankDEV0008GE BiliSoft LED PhototherapyIncubatorGE HealthcareFAC1007Newcastle Royal Victoria InfirmaryQueen Victoria RdNewcastleNE1 4LPUKNeonatology2024-03-18T11:08:002024-03-18T12:01:0053OPR2008NurseactiveblankPhototherapy administered to newborn.

What the 200 rows show

from the 200-row sample

Patient (utilization type) stands out: mean patient_count is 1.8, against 0.0 for the rest.

  • 0median patient_count
  • 4device statuses
  • 8operator roles
  • 10device types
  • 25departments
  • 29facility countries
Mean patient_count by utilization_type200 rows
0121.8patient98 rows0.0maintena…23 rows0.0calibrat…56 rows0.0other23 rows
patient_count200 rows, in bands of 1
0551101024733114201048patient_count →

Median 0, from 0 to 8.

facility_state85 rows with a value · 115 left blank
  1. ON20
  2. OH8
  3. CA7
  4. MH7
  5. SP7
  6. NSW6
  7. SA5
  8. MD4
  9. WA4
  10. BC3
23 columns by typefrom the column list below
  • string 19
  • integer 1
  • float 1
  • datetime 2

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 19 columns
utilization_idstringUnique identifier for each device utilization recorduniqueUTL00001
device_idstringUnique identifier for the medical deviceDEV0001
device_namestringName or model of the medical deviceSiemens Magnetom Aera
device_typestringType or category of the medical device (e.g., MRI, Ventilator)10 typesMRI
manufacturerstringManufacturer of the deviceoptionalSiemens
facility_idstringUnique identifier for the healthcare facilityFAC1001
facility_namestringName of the healthcare facilityMercy General Hospital
facility_street_addressstringStreet address of the healthcare facilityoptional123 Wellness Dr
facility_citystringCity where the facility is locatedoptionalColumbus
facility_statestringState or province of the facilityoptionalOH
facility_postal_codestringPostal code of the facilityoptional43215
facility_countrystringCountry where the facility is locatedoptionalUSA
departmentstringDepartment within the facility where the device is used (e.g., Radiology, ICU)optionalRadiology
utilization_typestringType of usage (e.g., patient, maintenance, calibration)patient · maintenance · calibration · otherpatient
operator_idstringIdentifier for the staff member operating the deviceoptionalOPR2001
operator_rolestringRole or title of the operator (e.g., Technician, Nurse)8 roles · optionalTechnician
device_statusstringStatus of the device during usage (e.g., active, idle, under_maintenance)active · idle · under_maintenance · out_of_serviceactive
error_codestringError code reported during usage, if anyoptionalCAL02
notesstringAdditional notes or comments regarding the device usageoptionalRoutine MRI scan for two …
Numbers 2 columns
duration_minutesfloatTotal duration of device usage in minutes0 or more51
patient_countintegerNumber of patients served during this usage period (if applicable)0 or more · optional2
Dates and times 2 columns
usage_start_datetimedatetimeDate and time when device usage started2024-03-12T08:12:00
usage_end_datetimedatetimeDate and time when device usage ended2024-03-12T09:03:00

Use it for

  • median patient…0200 rowsmean patient count by…1.8pati…0.0main…0.0cali…0.0other

    A healthcare dashboard

    Patient_count by utilization_type and a breakdown of facility_state. Excel, Power BI or Tableau.

  • Why do the 98 patient rows have a mean patient_count of 1.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable utilizations with device_id, device_name and device_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows23 columns
Yours1,000 rows23 columnsfacility_street_address: UK only

blueprint · healthcare-device-utilization-metrics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Unique device and department per record.
  • Utilization hours per shift.
  • Maintenance event annotation.
  • Obsolescence risk flagged.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-device-utilization-metrics

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